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Senior Manager, Data Architecture

Job ID 21004985 Hyderabad, India

In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity—not just answers—in all areas of business. We embrace diverse backgrounds and global perspectives, and we cultivate diversity by respecting, including, and valuing one another. As part of One team, One Kroll, you’ll contribute to a supportive and collaborative work environment that empowers you to excel.

Kroll’s premier global valuation and corporate finance advisor with expertise in complex valuation, disputes and investigations, M&A, restructuring and compliance and regulatory consulting. Cyber Security practice helps firms manage cybersecurity risks at every stage of preparedness by identifying vulnerabilities and readiness through a comprehensive gap analysis and risk assessment; implementing best practices to avoid compromise; and recovering from cybersecurity attacks.

At Kroll, your work will help deliver clarity to our clients’ most complex governance, risk, and transparency challenges. Apply now to join One team, One Kroll.


  • Setting up an enterprise level data strategy, including:
    • Governance
      • Legal and privacy
      • Regulatory compliance such as GDPR.
      • Risk management
    • Data Architecture
      • Data Lake, EDW, and new related tech
      • Automation
      • Cloud-first
    • Big data analytics
      • Pre-build discovery and design
      • Build
      • Post-build support
    • Delivery leadership
      • Stakeholder engagement
      • Bridging client requirements and dev expectations
      • Ensuring on-time delivery
      • Manage third-party vendors
    • Data Products
      • Understanding business needs
      • Transforming data into products
      • Understanding data GTM strategy
    • Knowledge on Automation
      • RPA and Intelligent Process Automation
      • ML and AI
  • Grow and lead a broad-based data team to success
    • Data scientists
    • Data engineers
    • Data analysts
    • Data stewards
    • Data visualization engineers
  • Work with project managers, product owners, business teams, data scientists, engineers, and data stewards to deliver data solutions
  • Leading global teams


  • Team and project leadership experience
  • Experience in setting up enterprise level data lake using any Bigdata platform like Hadoop, Azure Data Lake and etc...
  • Should be able to understand and guide the teams in implementation of Data Lake and ELT concepts in Cloud using ADB, ADF, Python, PySpark and etc.
  • Expertise with Azure in the Data lifecycle & AI domain – like Data Migration, Data Transformation, Data Modernization, Modern Data Warehouse, Analytics, Azure ML, etc.
  • Deep understanding of data architecture, data security and modern processing techniques using data pipelines
  • Ability to discover, analyze, and find data patterns and turn them into data products
  • Experience using data to modernize a financial business
  • Quick to understand business needs and learn domain specific knowledge
  • Experience dealing with financial data products is a huge plus
  • Experience with business or process analysis
  • Experience leading with Scrum teams
  • Excellent communication skills


  • Experience working as a data architect or data engineer or analytics manager
  • Experience with Python/ PySpark
  • Experience with ETL/ELT using various Cloud technologies
  • Experience with data visualization tools like Power BI or Tableau
  • Experience with SQL, EDW, Data Lake, Delta Lake, Lakehouse, etc.
  • Knowledge on Python libraries like Pandas, Numpy, spaCy or NLTK
  • Cloud experience, especially Azure
  • Scrum, Agile, PMP, Data Analytics Certifications

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